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1908.00213
Cited By
Chainer: A Deep Learning Framework for Accelerating the Research Cycle
Knowledge Discovery and Data Mining (KDD), 2019
1 August 2019
Seiya Tokui
Ryosuke Okuta
Takuya Akiba
Yusuke Niitani
Toru Ogawa
Shunta Saito
Shuji Suzuki
Kota Uenishi
Brian K. Vogel
Hiroyuki Yamazaki Vincent
BDL
AI4CE
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Papers citing
"Chainer: A Deep Learning Framework for Accelerating the Research Cycle"
48 / 48 papers shown
The Oversmoothing Fallacy: A Misguided Narrative in GNN Research
M. Park
Sunghyun Choi
Jaeseung Heo
Eunhyeok Park
Dongwoo Kim
AI4CE
412
3
0
05 Jun 2025
Zenkai -- Framework For Exploring Beyond Backpropagation
Greg Short
219
0
0
16 Nov 2023
The Grand Illusion: The Myth of Software Portability and Implications for ML Progress
Neural Information Processing Systems (NeurIPS), 2023
Fraser Mince
Dzung Dinh
Jonas Kgomo
Neil Thompson
Sara Hooker
133
8
0
12 Sep 2023
Unveiling the frontiers of deep learning: innovations shaping diverse domains
Shams Forruque Ahmed
Md. Sakib Bin Alam
Maliha Kabir
Shaila Afrin
Sabiha Jannat Rafa
Aanushka Mehjabin
Amir H. Gandomi
AI4CE
554
11
0
06 Sep 2023
Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning
International Conference on Machine Learning (ICML), 2023
Yu-Shuen Tang
Zhimin Ding
Dimitrije Jankov
Binhang Yuan
Daniel Bourgeois
C. Jermaine
BDL
406
7
0
31 May 2023
On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable Parameters
International Conference on Machine Learning (ICML), 2023
Wonyeol Lee
Sejun Park
A. Aiken
PINN
273
6
0
31 Jan 2023
MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation
Vikram S. Voleti
Alexia Jolicoeur-Martineau
Christopher Pal
DiffM
VGen
476
390
0
19 May 2022
Optimizing Mixture of Experts using Dynamic Recompilations
Ferdinand Kossmann
Zhihao Jia
A. Aiken
281
5
0
04 May 2022
Memory Planning for Deep Neural Networks
Maksim Levental
200
4
0
23 Feb 2022
Flashlight: Enabling Innovation in Tools for Machine Learning
International Conference on Machine Learning (ICML), 2022
Jacob Kahn
Vineel Pratap
Tatiana Likhomanenko
Qiantong Xu
Awni Y. Hannun
...
Gilad Avidov
Benoit Steiner
Vitaliy Liptchinsky
Gabriel Synnaeve
R. Collobert
302
39
0
29 Jan 2022
Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs
Neural Information Processing Systems (NeurIPS), 2022
Taebum Kim
Eunji Jeong
Geonyong Kim
Yunmo Koo
Sehoon Kim
Gyeong-In Yu
Byung-Gon Chun
AI4CE
199
6
0
23 Jan 2022
DIVA-DAF: A Deep Learning Framework for Historical Document Image Analysis
Lars Vogtlin
A. Scius-Bertrand
Paul Maergner
Andreas Fischer
Rolf Ingold
214
2
0
20 Jan 2022
Torch.fx: Practical Program Capture and Transformation for Deep Learning in Python
James K. Reed
Zach DeVito
Horace He
Ansley Ussery
Jason Ansel
CLIP
226
70
0
15 Dec 2021
Analysis of memory consumption by neural networks based on hyperparameters
N. Mahendran
107
4
0
21 Oct 2021
ESPnet2-TTS: Extending the Edge of TTS Research
Tomoki Hayashi
Ryuichi Yamamoto
Takenori Yoshimura
Peter Wu
Jiatong Shi
Takaaki Saeki
Yooncheol Ju
Yusuke Yasuda
Shinnosuke Takamichi
Shinji Watanabe
VLM
180
72
0
15 Oct 2021
SoftNeuro: Fast Deep Inference using Multi-platform Optimization
Masaki Hilaga
Yasuhiro Kuroda
Hitoshi Matsuo
Tatsuya Kawaguchi
Gabriel Ogawa
Hiroshi Miyake
Yusuke Kozawa
221
2
0
12 Oct 2021
Pixyz: a Python library for developing deep generative models
Masahiro Suzuki
T. Kaneko
Y. Matsuo
AI4CE
277
3
0
28 Jul 2021
Optimizer Fusion: Efficient Training with Better Locality and Parallelism
Zixuan Jiang
Jiaqi Gu
Mingjie Liu
Keren Zhu
David Z. Pan
165
3
0
01 Apr 2021
LazyTensor: combining eager execution with domain-specific compilers
Alex Suhan
Davide Libenzi
Ailing Zhang
Parker Schuh
Brennan Saeta
Jie Young Sohn
Denys Shabalin
160
22
0
26 Feb 2021
Swift for TensorFlow: A portable, flexible platform for deep learning
Conference on Machine Learning and Systems (MLSys), 2021
Brennan Saeta
Denys Shabalin
M. Rasi
Brad Larson
Xihui Wu
...
Saleem Abdulrasool
A. Efremov
Dave Abrahams
Chris Lattner
Richard Wei
HAI
168
14
0
26 Feb 2021
HumanACGAN: conditional generative adversarial network with human-based auxiliary classifier and its evaluation in phoneme perception
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Yota Ueda
Kazuki Fujii
Yuki Saito
Shinnosuke Takamichi
Yukino Baba
Hiroshi Saruwatari
GAN
99
1
0
08 Feb 2021
Ivy: Templated Deep Learning for Inter-Framework Portability
Daniel Lenton
Fabio Pardo
Fabian Falck
Stephen James
R. Clark
OOD
VLM
293
13
0
04 Feb 2021
TensorX: Extensible API for Neural Network Model Design and Deployment
Davide Nunes
Luis M. Antunes
149
0
0
29 Dec 2020
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead
IEEE Access (IEEE Access), 2020
Maurizio Capra
Beatrice Bussolino
Alberto Marchisio
Guido Masera
Maurizio Martina
Mohamed Bennai
BDL
321
177
0
21 Dec 2020
Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning
Neural Information Processing Systems (NeurIPS), 2020
Woosuk Kwon
Gyeong-In Yu
Eunji Jeong
Byung-Gon Chun
184
85
0
04 Dec 2020
A Study of Checkpointing in Large Scale Training of Deep Neural Networks
Elvis Rojas
A. Kahira
Esteban Meneses
L. Bautista-Gomez
Rosa M. Badia
256
34
0
01 Dec 2020
Behaviorally Diverse Traffic Simulation via Reinforcement Learning
Shinya Shiroshita
Shirou Maruyama
D. Nishiyama
M. Castro
Karim Hamzaoui
Guy Rosman
Jonathan A. DeCastro
Kuan-Hui Lee
Adrien Gaidon
257
21
0
11 Nov 2020
Ensemble Chinese End-to-End Spoken Language Understanding for Abnormal Event Detection from audio stream
Haoran Wei
Fei Tao
Runze Su
Sen Yang
Ji Liu
342
3
0
19 Oct 2020
Towards a Scalable and Distributed Infrastructure for Deep Learning Applications
Bita Hasheminezhad
S. Shirzad
Nanmiao Wu
Patrick Diehl
Hannes Schulz
Hartmut Kaiser
GNN
AI4CE
436
5
0
06 Oct 2020
Label-Efficient Multi-Task Segmentation using Contrastive Learning
J. Iwasawa
Y. Hirano
Yohei Sugawara
164
11
0
23 Sep 2020
When is invariance useful in an Out-of-Distribution Generalization problem ?
Masanori Koyama
Shoichiro Yamaguchi
OOD
373
72
0
04 Aug 2020
Reflection-based Word Attribute Transfer
Yoichi Ishibashi
Katsuhito Sudoh
Koichiro Yoshino
Satoshi Nakamura
CVBM
217
3
0
06 Jul 2020
End-to-end Learning of a Fisher Vector Encoding for Part Features in Fine-grained Recognition
D. Korsch
P. Bodesheim
Joachim Denzler
244
8
0
04 Jul 2020
PrototypeML: A Neural Network Integrated Design and Development Environment
D. R. Harris
117
1
0
01 Jul 2020
Learning Heuristic Selection with Dynamic Algorithm Configuration
David Speck
André Biedenkapp
Katharina Eggensperger
Robert Mattmüller
Marius Lindauer
326
35
0
15 Jun 2020
On Correctness of Automatic Differentiation for Non-Differentiable Functions
Neural Information Processing Systems (NeurIPS), 2020
Wonyeol Lee
Hangyeol Yu
Xavier Rival
Hongseok Yang
216
44
0
12 Jun 2020
ESPnet-ST: All-in-One Speech Translation Toolkit
Hirofumi Inaguma
Shun Kiyono
Kevin Duh
Shigeki Karita
Nelson Yalta
Tomoki Hayashi
Shinji Watanabe
280
172
0
21 Apr 2020
SOL: Effortless Device Support for AI Frameworks without Source Code Changes
IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2020
Nicolas Weber
Felipe Huici
136
3
0
24 Mar 2020
Scalable and Practical Natural Gradient for Large-Scale Deep Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Kazuki Osawa
Yohei Tsuji
Yuichiro Ueno
Akira Naruse
Chuan-Sheng Foo
Rio Yokota
269
45
0
13 Feb 2020
Learning to Control PDEs with Differentiable Physics
International Conference on Learning Representations (ICLR), 2020
Philipp Holl
V. Koltun
Nils Thuerey
AI4CE
PINN
275
215
0
21 Jan 2020
PixelRL: Fully Convolutional Network with Reinforcement Learning for Image Processing
IEEE transactions on multimedia (IEEE TMM), 2019
Ryosuke Furuta
Naoto Inoue
T. Yamasaki
235
85
0
16 Dec 2019
Adaptive Loss Scaling for Mixed Precision Training
Ruizhe Zhao
Brian K. Vogel
Tanvir Ahmed
149
10
0
28 Oct 2019
Team PFDet's Methods for Open Images Challenge 2019
Yusuke Niitani
Toru Ogawa
Shuji Suzuki
Takuya Akiba
Tommi Kerola
Kohei Ozaki
Shotaro Sano
164
3
0
25 Oct 2019
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
F. Mokhayeri
Dmytro Mishkin
Daniel Ponsa
Ethan Rublee
Gary R. Bradski
VLM
AI4TS
450
429
0
05 Oct 2019
HumanGAN: generative adversarial network with human-based discriminator and its evaluation in speech perception modeling
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Kazuki Fujii
Yuki Saito
Shinnosuke Takamichi
Yukino Baba
Hiroshi Saruwatari
203
7
0
25 Sep 2019
Einconv: Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks
Neural Information Processing Systems (NeurIPS), 2019
K. Hayashi
Taiki Yamaguchi
Yohei Sugawara
S. Maeda
171
62
0
13 Aug 2019
A Graph Theoretic Framework of Recomputation Algorithms for Memory-Efficient Backpropagation
Neural Information Processing Systems (NeurIPS), 2019
M. Kusumoto
Takuya Inoue
G. Watanabe
Takuya Akiba
Masanori Koyama
204
52
0
28 May 2019
Semi-Supervised Ordinal Regression Based on Empirical Risk Minimization
Neural Computation (Neural Comput.), 2019
Taira Tsuchiya
Nontawat Charoenphakdee
Issei Sato
Masashi Sugiyama
OffRL
319
4
0
31 Jan 2019
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